ABSTRACT
The finite element method (FEM) is a fundamental tool for numerical simulations in fluid dynamics, offering flexible and robust methodologies for modeling complex flow phenomena. This review critically evaluates the primary FEM strategies utilized in computational fluid dynamics (CFD), including classical Galerkin methods, stabilized formulations (SUPG, VMS), least-squares FEM (LSFEM), mixed and hybrid schemes, and adaptive and particle-based techniques (PFEM). The comparative performance, advantages, and limitations of each approach are analyzed, along with representative applications in incompressible, compressible, multiphase, and free-surface flows. Emerging trends such as hp-adaptivity, hybrid formulations, machine learning integration, and high-performance computing implementations are highlighted. This review aims to inform method selection based on flow characteristics, computational requirements, and accuracy needs, underscoring the versatility and evolving capabilities of FEM in contemporary CFD.
Keywords: Fluid dynamics, least squares FEM, particle based FEM , hp adaptivity, hybrid formation